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Description

The International Journal of Information Retrieval Research (IJIRR) publishes original, innovative, and creative research in the retrieval of information. This journal focuses on theories and methods with an enterprise-wide perspective and addresses interdisciplinary and multidisciplinary applications in data, text, and document retrieval. Targeting information engineers, scientists, and related professionals, IJIRR integrates interdisciplinary and multidisciplinary needs for a complete approach to the significant issue of data retrieval in the era of information fusion.

Topics Covered

Advanced software development related information retrieval issues

Classification

Clustering approaches

Content and context awareness and environment awareness

Filtering system

Index techniques

Information mining

Information retrieval in cloud computing issues

Information retrieval in education

Information retrieval in healthcare

Information retrieval in science, engineering, and technologies

Information retrieval in social science, social behaviors

Information retrieval with business, commerce, etc.

Information retrieval with Internet of Things

Knowledge mining

Link analysis

Machine learning on documents

Message passing

Metadata and XML retrieval

Mobile computing related information retrieval issues

Multimedia retrieval

Performance Measures

Query languages and optimization

Retrieval architecture

Retrieval evaluation

Retrieval languages and operations

Retrieval strategies

Retrieval systems

Retrieval theories

Retrieval with big data technologies

Scalability

Search algorithms

Search engine

Social media related information retrieval issues

Taxonomy theory and applications

Text mining

Text, document, and image retrieval

Web Mining

Mission and Scope

The mission of the International Journal of Information Retrieval Research (IJIRR) is to provide an outlet for researchers to present their research and obtain inspiration in the areas of information retrieval, computer science, and information science. Focusing on theories, methods, technologies, and tools, IJIRR is aimed towards information engineers, scientists, and related professionals. This journal exhibits expert experiences and state-of-the-art technologies in search and storage of texts, images, videos, and other data to stimulate innovation and exploration of improved approaches for conquering industry problems.

Reviews and Testimonials

Along with the advances of the Internet, there are more data, information, knowledge, applications, and services to take-in, causing much confusion and bewilderment. How to accurately and reliably retrieve data is a challenge for future web applications and information engineers. IJIRR is dedicated to publishing the latest research in information gathering, web data mining, and automation systems showing the newest theoretical, technological, and methodological breakthroughs. IJIRR not only provides professionals with a platform in which to express their original research results, but also to allow the exchange of ideas and resources. I believe every issue of IJIRR will give the reader new insights and inspirations.

Editor(s)-in-Chief Biography

Zhongyu (Joan) Lu is Professor in Informatics at the University of Huddersfield (UK). Her extensive research covers information access, retrieval and visualization, XML technology, object oriented technologies, agent technology, data management systems, security issues and Internet computing. She has been an invited speaker for industrial-oriented events and published 5 academic books and more than 160 papers. Professor Lu has acted as the founder and a program chair for the International XML Technology workshop and XMLTech (USA) for 11 years (2003-2011). She also serves as Chair of 5 separate international conferences, is a regular reviewer for several international journals, and a committee member for 16 international conferences. She specializes in XML technology and mobile computing with image retrieval through the latest wireless devices. Professor Lu serves as a member of the British Computer Society (BCS), BCS examiner of Advanced Database Management Systems, and fellow of the Higher Education Academy (UK). She is a founder and Editor-in-Chief for the International Journal of Information Retrieval Research.

Submission

Prospective authors should note that only original and previously unpublished articles will be considered. INTERESTED AUTHORS MUST CONSULT THE JOURNAL’S GUIDELINES FOR MANUSCRIPT SUBMISSIONS at http://www.igi-global.com/journals/guidelines-for-submission.aspx PRIOR TO SUBMISSION. All article submissions will be forwarded to at least 3 members of the Editorial Review Board of the journal for double-blind, peer review. Final decision regarding acceptance/revision/rejection will be based on the reviews received from the reviewers. All submissions must be forwarded electronically.